Analysis of Characterizing Phases on Waveforms: An Application to Vertical Jumps

作者：Richter Chris^*; O' Connor Noel E; Marshall Brendan; Moran Kieran

来源：Journal of Applied Biomechanics, 2014, 30(2): 316-321.

DOI：10.1123/jab.2012-0218

• analysis of characterizing phases
• countermovement jump
• motion analysis
• performance-related factor

The aim of this study is to propose a novel data analysis approach, an analysis of characterizing phases (ACP), that detects and examines phases of variance within a sample of curves utilizing the time, magnitude, and magnitude-time domains; and to compare the findings of ACP to discrete point analysis in identifying performance-related factors in vertical jumps. Twenty-five vertical jumps were analyzed. Discrete point analysis identified the initial-to-maximum rate of force development (P = .006) and the time from initial-to-maximum force (P = .047) as performance-related factors. However, due to intersubject variability in the shape of the force curves (ie, non-, uni- and bimodal nature), these variables were judged to be functionally erroneous. In contrast, ACP identified the ability to apply forces for longer (P %26lt; .038), generate higher forces (P %26lt; .027), and produce a greater rate of force development (P %26lt; .003) as performance-related factors. Analysis of characterizing phases showed advantages over discrete point analysis in identifying performance-related factors because it (i) analyses only related phases, (ii) analyses the whole data set, (iii) can identify performance-related factors that occur solely as a phase, (iv) identifies the specific phase over which differences occur, and (v) analyses the time, magnitude and combined magnitude-time domains.

• 出版日期2014-4